baosenguo / Kaggle-MoA-2nd-Place-Solution
☆167Updated 4 years ago
Alternatives and similar repositories for Kaggle-MoA-2nd-Place-Solution:
Users that are interested in Kaggle-MoA-2nd-Place-Solution are comparing it to the libraries listed below
- Winning Solution of Kaggle Mechanisms of Action (MoA) Prediction.☆118Updated 3 years ago
- Scikit-learn compatible implementation of the Gauss Rank scaling method☆73Updated last year
- An implementation of the focal loss to be used with LightGBM for binary and multi-class classification problems☆249Updated 5 years ago
- ☆52Updated 2 years ago
- A Tensorflow 2.0 implementation of TabNet.☆242Updated last year
- ☆201Updated 3 years ago
- Winning solution for the Kaggle Feedback Prize Challenge.☆65Updated 2 years ago
- XGBoost for label-imbalanced data: XGBoost with weighted and focal loss functions☆317Updated last year
- TabNet for fastai☆123Updated last year
- ☆88Updated 2 years ago
- ☆345Updated 4 years ago
- Benchmark tabular Deep Learning models against each other and other non-DL techniques☆54Updated 3 years ago
- My toolbox for data analysis. :)☆174Updated 2 months ago
- https://www.kaggle.com/c/data-science-bowl-2019☆67Updated last year
- Code for American Express' Default Prediction competition, hosted on Kaggle☆14Updated 2 years ago
- ☆27Updated 3 years ago
- Linear Prediction Model with Automated Feature Engineering and Selection Capabilities☆508Updated 5 months ago
- Gradient boosting model for predicting credit default risk on Kaggle competition☆16Updated 4 years ago
- ☆226Updated last year
- hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating t…☆61Updated 2 weeks ago
- Boosted neural network for tabular data☆212Updated 7 months ago
- Revisiting Pretrarining Objectives for Tabular Deep Learning☆63Updated 2 years ago
- Public solution for AutoSeries competition☆72Updated 5 years ago
- Modification of TabNet as suggested in the Medium article, "The Unreasonable Ineffectiveness of Deep Learning on Tabular Data"☆61Updated last year
- xverse (XuniVerse) is collection of transformers for feature engineering and feature selection☆117Updated last year
- ☆94Updated last year
- Experiments on Tabular Data Models☆274Updated last year
- Custom Loss Functions and Evaluation Metrics for XGBoost and LightGBM☆34Updated 3 years ago
- ☆51Updated 6 years ago
- ☆37Updated 4 years ago